CVE-2024-39361 (GCVE-0-2024-39361)
Vulnerability from cvelistv5 – Published: 2024-07-03 08:35 – Updated: 2024-08-02 04:26
VLAI
EPSS
VEX
Title
Creating posts with user-defined IDs permitted in CreatePost API
Summary
Mattermost versions 9.8.0, 9.7.x <= 9.7.4, 9.6.x <= 9.6.2 and 9.5.x <= 9.5.5 fail to prevent users from specifying a RemoteId for their posts which allows an attacker to specify both a remoteId and the post ID, resulting in creating a post with a user-defined post ID. This can cause some broken functionality in the channel or thread with user-defined posts
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-03 15:12 UTC
CWE
- CWE-284 - Improper Access Control
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Mattermost | Mattermost |
Affected:
9.8.0
Affected: 9.7.0 , ≤ 9.7.4 (semver) Affected: 9.6.0 , ≤ 9.6.2 (semver) Affected: 9.5.0 , ≤ 9.5.5 (semver) Unaffected: 9.9.0 Unaffected: 9.8.1 Unaffected: 9.7.5 Unaffected: 9.6.3 Unaffected: 9.5.6 |
guessed |
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"solutions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eUpdate Mattermost to versions 9.9.0, 9.8.1, 9.7.5, 9.6.3, 9.5.6 or higher.\u003c/p\u003e"
}
],
"value": "Update Mattermost to versions 9.9.0, 9.8.1, 9.7.5, 9.6.3, 9.5.6 or higher."
}
],
"source": {
"advisory": "MMSA-2024-00347",
"defect": [
"https://mattermost.atlassian.net/browse/MM-58276"
],
"discovery": "INTERNAL"
},
"title": "Creating posts with user-defined IDs permitted in CreatePost API",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "9302f53e-dde5-4bf3-b2f2-a83f91ac0eee",
"assignerShortName": "Mattermost",
"cveId": "CVE-2024-39361",
"datePublished": "2024-07-03T08:35:43.118Z",
"dateReserved": "2024-07-01T10:22:11.616Z",
"dateUpdated": "2024-08-02T04:26:14.801Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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